AI for Everyone: Myth or Reality?
https://towardsdatascience.com/ai-for-everyone-myth-or-reality-44edc24f7982?source=collection_home---4------1-----------------------
https://towardsdatascience.com/ai-for-everyone-myth-or-reality-44edc24f7982?source=collection_home---4------1-----------------------
Towards Data Science
AI for Everyone: Myth or Reality?
A Summarisation of Facebook’s research paper titled “Does Object Recognition Work for Everyone?”
Forwarded from Machinelearning
One-Shot Learning with Siamese Networks, Contrastive Loss, and Triplet Loss for Face Recognition
https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/
https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/
Invertible Residual Networks
Official Pytorch implementation of i-ResNets.
Article: http://proceedings.mlr.press/v97/behrmann19a.html
Github: https://github.com/jhjacobsen/invertible-resnet
Official Pytorch implementation of i-ResNets.
Article: http://proceedings.mlr.press/v97/behrmann19a.html
Github: https://github.com/jhjacobsen/invertible-resnet
PMLR
Invertible Residual Networks
We show that standard ResNet architectures can be made invertible, allowing the same model to be used for classification, density estimation, and generation....
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
https://arxiv.org/abs/1906.04585
https://arxiv.org/abs/1906.04585
Forwarded from Machinelearning
Applying AutoML to Transformer Architectures
http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html
http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html
Googleblog
Applying AutoML to Transformer Architectures
A Game of Words: Vectorization, Tagging, and Sentiment Analysis
https://towardsdatascience.com/a-game-of-words-vectorization-tagging-and-sentiment-analysis-c78ff9a07e42?source=topic_page---------------------------20
https://towardsdatascience.com/a-game-of-words-vectorization-tagging-and-sentiment-analysis-c78ff9a07e42?source=topic_page---------------------------20
Towards Data Science
A Game of Words: Vectorization, Tagging, and Sentiment Analysis
Analyzing words from Game of Thrones Book 1 with Natural Language Processing (Part 2)
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Paper.: https://arxiv.org/abs/1906.05218
Paper.: https://arxiv.org/abs/1906.05218
arXiv.org
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Simultaneous machine translation begins to translate each source sentence
before the source speaker is finished speaking, with applications to live and
streaming scenarios. Simultaneous systems...
before the source speaker is finished speaking, with applications to live and
streaming scenarios. Simultaneous systems...
Teaching artificial intelligence to connect senses like vision and touch
http://news.mit.edu/2019/teaching-ai-to-connect-senses-vision-touch-0617
http://news.mit.edu/2019/teaching-ai-to-connect-senses-vision-touch-0617
MIT News
Teaching artificial intelligence to connect senses like vision and touch
An artificial intelligence system from MIT CSAIL uses machine learning to create realistic tactile signals from visual inputs, and predict which object and what part is being touched directly from those tactile inputs.
A fastai/Pytorch implementation of MixMatch
Understanding the new state of the art in semi-supervised learning
https://towardsdatascience.com/a-fastai-pytorch-implementation-of-mixmatch-314bb30d0f99
Understanding the new state of the art in semi-supervised learning
https://towardsdatascience.com/a-fastai-pytorch-implementation-of-mixmatch-314bb30d0f99
Medium
A fastai/Pytorch implementation of MixMatch
Understanding the new state of the art in semi-supervised learning
Using AI to generate recipes from food images
Article: https://ai.facebook.com/blog/inverse-cooking/
GITHUB: https://github.com/facebookresearch/inversecooking
Article: https://ai.facebook.com/blog/inverse-cooking/
GITHUB: https://github.com/facebookresearch/inversecooking
Meta
Using AI to generate recipes from food images
We are releasing the code for a new approach to generating recipes directly from food images. This produces more compelling recipes than retrieval-based approaches and improves performance with respect to previous baselines for ingredient prediction.
Off-Policy Classification - A New Reinforcement Learning Model Selection Method
http://ai.googleblog.com/2019/06/off-policy-classification-new.html
http://ai.googleblog.com/2019/06/off-policy-classification-new.html
research.google
Off-Policy Classification - A New Reinforcement Learning Model Selection Method
Posted by Alex Irpan, Software Engineer, Robotics at Google Reinforcement learning (RL) is a framework that lets agents learn decision making from ...
Artificial Intelligence In Healthcare | Examples Of AI In Healthcare
https://www.youtube.com/watch?v=j6EB9HO6acE
https://www.youtube.com/watch?v=j6EB9HO6acE
YouTube
Artificial Intelligence In Healthcare | Examples Of AI In Healthcare | Edureka
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help…
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help…
Artificial Intelligence Based Cloud Distributor (AI-CD): Probing Low Cloud Distribution with a Conditional Generative Adversarial Network
https://arxiv.org/abs/1905.08700
https://arxiv.org/abs/1905.08700
arXiv.org
Artificial Intelligence Based Cloud Distributor (AI-CD): Probing...
Here we introduce the artificial intelligence-based cloud distributor (AI-CD)
approach to generate two-dimensional (2D) marine low cloud reflectance fields.
AI-CD uses a conditional generative...
approach to generate two-dimensional (2D) marine low cloud reflectance fields.
AI-CD uses a conditional generative...
Guido van Rossum: Python | MIT Artificial Intelligence (AI)
https://www.youtube.com/watch?v=ghwaIiE3Nd8
https://www.youtube.com/watch?v=ghwaIiE3Nd8
YouTube
Guido van Rossum: Python | Lex Fridman Podcast #6
Microsoft ML Spark: расширение Spark, делающее SparkML человечнее, и LightGBM как бонус
https://habr.com/ru/company/raiffeisenbank/blog/456668/
https://habr.com/ru/company/raiffeisenbank/blog/456668/
Хабр
Microsoft ML Spark: расширение Spark, делающее SparkML человечнее, и LightGBM как бонус
Многие, кто работал с Spark ML, знают, что некоторые вещи там сделаны "не совсем удачно" или не сделаны вообще. Позиция разработчиков Spark в том, что SparkML —...
Machine Learning, AI and Beyond— What are the Limits of the Hype?
https://medium.com/@diffusesingularity/machine-learning-ai-and-beyond-what-are-the-limits-of-the-hype-4cdb64e974c8
https://medium.com/@diffusesingularity/machine-learning-ai-and-beyond-what-are-the-limits-of-the-hype-4cdb64e974c8
Medium
Machine Learning, AI and Beyond— What are the Limits of the Hype?
As data science tools have enabled machines to do complex analysis, predictions, and transformations off of not just extremely large text…